Thursday, March 24, 2016

Brain training: should you believe the hype? "It depends"

Good article on the controversy re brain training.  The conclusion that it depends on the type of training and the type of person being trained is likely the best answer at this time.  It has been my hypothesis that one of the key variables in those training programs that demonstrate some transfer to other tasks, is that those programs, either via explicit or implicit design, focus on training attentional control (AC).  More AC related posts can be found at the following links (IQs Corner and the Brain Clock blog).  For those who follow the CHC model of cognitive abilities, attentional control was recently added to the CHC taxonomy (under Gwm).


http://www.brainclock.net/search/label/attentional%20control

Brain training: should you believe the hype?

From The Guardian on Flipboard

Everything you do changes your brain. Even reading this article. Right now, wherever you are, looking at these words is shaping and modifying the…

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Wednesday, March 23, 2016

The Reason Our Minds Wander

Mind wandering research (with the interaction between the default, salience, and central executive brain networks) has exploded during the past 10 years.  A key variable in the management of mind wandering is "attentional control"

The Reason Our Minds Wander

From The Atlantic on Flipboard

Why do people spend so many hours per day worrying, daydreaming, or focusing on anything but the present? You probably aren't living in the moment. Most people spend their…

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Music Training Influences Teenagers’ Language Development



Music Training Influences Teenagers' Language Development

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The Real Brain Game: Harnessing Neuroplasticity to Upgrade Our Mental Equipment



The Real Brain Game: Harnessing Neuroplasticity to Upgrade Our Mental Equipment

By Alvaro Fernandez | Mar 22, 2016 Synopsis Do you think individuals can train their brain to respond in a particular…

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Sunday, March 20, 2016

On the Necessity of Distinguishing Between Unintentional and Intentional Mind Wandering.



On the Necessity of Distinguishing Between Unintentional and Intentional Mind Wandering.

On the Necessity of Distinguishing Between Unintentional and Intentional Mind Wandering.Psychol Sci. 2016 Mar…

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Friday, March 18, 2016

Research Byte: General cognitive ability and fluctuating asymmetry of brain surface area via BrowZine

Another study consistent with the P-FIT model of intelligence. Here are other P-FIT related posts at IQs Corner. - http://www.iqscorner.com/search/label/P-FIT

General cognitive ability and fluctuating asymmetry of brain surface area
Yeo, Ronald A.; Ryman, Sephira G.; Pommy, Jessica; Thoma, Robert J.; Jung, Rex E.
Intelligence, Vol. 56 – 2016: 93 - 98

10.1016/j.intell.2016.03.002

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Thursday, March 17, 2016

Does the Cerebellum Fine-Tune Complex Cerebral Functions?



Does the Cerebellum Fine-Tune Complex Cerebral Functions?

Source: Life Science Databases/Wikimedia Commons In 1504, Leonardo da Vinci made wax castings of the human brain and coined the term…

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Friday, March 11, 2016

Research Byte: Age of Child May Influence ADHD Diagnosis



Age of Child May Influence ADHD Diagnosis

New research critically examines the timing of when a child is diagnosed with attention-deficit hyperactivity disorder (ADHD) suggesting that immaturity may…

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Wednesday, March 09, 2016

Research Byte: Educational neuroscience questioned


March: Educational neuroscience questioned

In a controversial research paper published in Psychological Review, Professor Jeffrey Bowers of Bristol's School of Experimental Psychology warns that…

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Tuesday, March 08, 2016

Research Byte: Executive functions involve more than just the prefrontal structures--White matter matters

Neuroanatomical Substrates of Executive Functions: Beyond Prefrontal Structures

  • a University of California, San Francisco; Department of Neurology, Memory and Aging Center; San Francisco, CA
  • b University of Colorado, Denver Anschutz School of Medicine; Departments of Neurosurgery and Neurology; Rocky Mountain Alzheimer’s Disease Center; Aurora, CO
  • c University of California, Davis; Department of Neurology; Davis, CA

Highlights

Executive functions (EF) are not synonymous with ‘frontal’ tasks.
Global atrophy was the only independent predictor of EF.
Frontal volumes do not predict EF when statistically isolated from global atrophy.
White matter metrics remain predictors of EF, independent of global atrophy.

Abstract

Executive functions are often considered lynchpin “frontal lobe tasks”, despite accumulating evidence that a broad network of anterior and posterior brain structures supports them. Using a latent variable modeling approach, we assessed whether prefrontal grey matter volumes independently predict executive function performance when statistically differentiated from global atrophy and individual non-frontal lobar volume contributions. We further examined whether fronto-parietal white matter microstructure underlies and independently contributes to executive functions. We developed a latent variable model to decompose lobar grey matter volumes into a global grey matter factor and specific lobar volumes (i.e. prefrontal, parietal, temporal, occipital) that were independent of global grey matter. We then added mean fractional anisotropy (FA) for the superior longitudinal fasciculus (dorsal portion), corpus callosum, and cingulum bundle (dorsal portion) to models that included grey matter volumes related to cognitive variables in previous analyses. Results suggested that the 2-factor model (shifting/inhibition, updating/working memory) plus an information processing speed factor best explained our executive function data in a sample of 202 community dwelling older adults, and was selected as the base measurement model for further analyses. Global grey matter was related to the executive function and speed variables in all four lobar models, but independent contributions of the frontal lobes were not significant. In contrast, when assessing the effect of white matter microstructure, cingulum FA made significant independent contributions to all three executive function and speed variables and corpus callosum FA was independently related to shifting/inhibition and speed. Findings from the current study indicate that while prefrontal grey matter volumes are significantly associated with cognitive neuroscience measures of shifting/inhibition and working memory in healthy older adults, they do not independently predict executive function when statistically isolated from global atrophy and individual non-frontal lobar volume contributions. In contrast, better microstructure of fronto-parietal white matter, namely the corpus callosum and cingulum, continued to predict executive functions after accounting for global grey matter atrophy. These findings contribute to a growing literature suggesting that prefrontal contributions to executive functions cannot be viewed in isolation from more distributed grey and white matter effects in a healthy older adult cohort.

Sunday, March 06, 2016

Scientists are learning more about how the brain keeps time



Scientists are learning more about how the brain keeps time

From Mentality, a Flipboard magazine by Travis White

Our brains have an extraordinary ability to monitor time. A driver can judge just how much time is left to run a yellow light; a dancer can…

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Monday, February 29, 2016

A watershed model of individual differences in fluid intelligence

More on white matter matters

A watershed model of individual differences in fluid intelligence

Abstract Fluid intelligence is a crucial cognitive ability that predicts key life outcomes across the lifespan. Strong empirical links…

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******************************************************
Kevin McGrew, PhD
Educational Psychologist
Director, Institute for Applied Psychometrics
IAP
******************************************************

Friday, February 26, 2016

White matter matters! Brain network communication and synchronization - An oldie-but-goodie (OBG) post

White matter, in contrast to the grey squiggly mass (the cerebrum) that most people associate with the human brain, was for many years the research step-child to the cerebrum. That is no more. White matter, which has been called the brain's subway, super information system, or interstate highway communication system, now has a glass slipper. Research during the past decade has implicated white matter as performing the critical task of connecting and synchronizing different brain regions or networks so they can perform a wide variety of complex human cognitive or motor behaviors. The white matter system is considered the communication backbone system for the flow of information in the brain. Of particular interest (to me) is the parietal-frontal network, which is implicated as central to abstract human intelligence, fluid intelligence (Gf), working memory and attentional control (see prior posts re: the P-FIT model).

In a MindHub white paper I hypothesized that increasing white matter tract integrity may be a key mechanism behind the efficacy of the Interactive Metronome neuro-timing intervention (see figure below). I have gone as far as suggesting that the efficacy of many brain training/fitness programs may stem from a common domain-general effect--improving communication between and within various brain network(s) via more efficient white matter tract speed and communication. [Click on image to enlarge]
White matter integrity or dysfunction as been implicated in a wide variety of cognitive disorders or abilities, including cognitive control, math and intellectual giftedness, fluid intelligence or reasoning, processing speed, reading, decrease in cognitive functioning, meditation, working memory, vascular cognitive impairment, ADHD, autism, and cognitve and language maturation in infants. A sampling of recent white matter research article abstracts I have accumulated can be found by clicking here.
White matter matters!


Sunday, February 21, 2016

Research Byte: Conceptualization and Operationalization of Executive Function via BrowZine

Conceptualization and Operationalization of Executive Function
Baggetta, Peter; Alexander, Patricia A.
Mind, Brain, and Education, Vol. 10 Issue 1 – 2016: 10 - 33

10.1111/mbe.12100

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Sunday, February 07, 2016

Research Byte: Schooling duration rather than chronological age predicts working memory between 6 and 7 years: Memory Maestros Study. - PubMed



Schooling duration rather than chronological age predicts working memory between 6 and 7 years: Memory Maestros Study. - PubMed

OBJECTIVE: Low working memory (WM) is strongly linked with poor academic…

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Neuro-hit or neuro-myth?



Neuro-hit or neuro-myth?

Teachers and parents have a great enthusiasm for the brain sciences and the light they can shed on children's and adults' learning in educational environments. We share that…

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Friday, February 05, 2016

Research Byte: Does Music Training Enhance Literacy Skills? A Meta-Analysis



Does Music Training Enhance Literacy Skills? A Meta-Analysis

Keywords: music training, reading, literacy, phonological awareness, meta-analysis, brain development Citation: Gordon RL, Fehd HM and…

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Wednesday, February 03, 2016

Research Byte: Cognitive training enhances intrinsic brain connectivity in childhood. - Abstract



Cognitive training enhances intrinsic brain connectivity in childhood. - Abstract

Type: Journal Article, Randomized Controlled Trial, Research Support, Non-U.S. Gov't, Research Support, N.I.H.,…

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Wednesday, January 27, 2016

Research Byte: Neurocognitive and Behavioral Predictors of Math Performance in Children With and Without ADHD via BrowZine

Neurocognitive and Behavioral Predictors of Math Performance in Children With and Without ADHD
Antonini, T. N.; Kingery, K. M.; Narad, M. E.; Langberg, J. M.; Tamm, L.; Epstein, J. N.
Journal of Attention Disorders, Vol. 20 Issue 2 – 2016: 108 - 118

10.1177/1087054713504620

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Research Byte: New Clues to How the Brain Maps Time



New Clues to How the Brain Maps Time

Our brains have an extraordinary ability to monitor time. A driver can judge just how much time is left to run a yellow light; a dancer can keep a beat down to the…

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Research Byte: The Frequency of Rapid Pupil Dilations as a Measure of Linguistic Processing Difficulty



Cool assessment concept.

The Frequency of Rapid Pupil Dilations as a Measure of Linguistic Processing Difficulty

by Vera Demberg, Asad SayeedWhile it has long been known that the pupil reacts to cognitive load, pupil size has…

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Monday, January 18, 2016

F.T.C.’s Lumosity Penalty Doesn’t End Brain Training Debate



F.T.C.'s Lumosity Penalty Doesn't End Brain Training Debate

From The New York Times on Flipboard

A few years ago, Jennifer Perrine saw a television ad for Lumosity, an online brain training program, and decided she'd give it a try. Her…

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Sunday, January 17, 2016

White matter plasticity in the cerebellum of elite basketball athletes.



White matter plasticity in the cerebellum of elite basketball athletes.

Related ArticlesWhite matter plasticity in the cerebellum of elite basketball athletes.Anat Cell Biol. 2015…

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Friday, January 15, 2016

STUDY ALERT: On the reception and detection of pseudo-profound bullshit



STUDY ALERT: On the reception and detection of pseudo-profound bullshit

On the reception and detection of pseudo-profound bullshit Gordon Pennycook, James Allan Cheyne, Nathaniel Barr, Derek J.…

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Read it on scottbarrykaufman.com




Wednesday, January 13, 2016

Scientists visualize critical part of basal ganglia pathways



Scientists visualize critical part of basal ganglia pathways

Certain diseases, like Parkinson's and Huntingdon's disease, are associated with damage to the pathways between the brain's basal ganglia…

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Monday, January 11, 2016

Your brain is a time machine: An oldie-but-goodie (OBG) post

This is an OBG (oldie-but-goodie) post I originally made on the IM-HOME blog

Time and space are the two fundamental dimensions of our lives. All forms of human behavior require us to process and understand information we receive from our environment in either spatial or temporal patterns. Even though mental timing (temporal processing) research is in a stage of infancy (when compared to spatial processing) important insights regarding the human brain clock have emerged.

Below is a list (albeit incomplete) of some of the major conclusions regarding the human brain clock. The sources for these statements come from my review of the temporal processing and brain clock literature during the past five years. Most of this information has been disseminated at the Brain Clock blog or the Brain Clock Evolving Web of Knowledge (EWOK). The goal of this post is to provide a Readers Digest summary of the major conclusions. This material can serve as a set of "talking points" at your next social event where you can impress your friends and family as you explain why you use the high-tech IM "clapper" (with a cowbell tone no less) either as a provider or as client.

Our brains measure time constantly. It's hard to find any complex human behavior where mental timing is not involved. Timing is required to walk, talk, perform complex movements and coordinate information flow across the brain for complex human thought. Think about moving your arm and hand to grasp a coffee cup. The messages to perform this task originate in your brain, which is not directly connected to your arm, hands and fingers. The ability to perform the necessary motor movements is possible only because the mind and extremities are connected via timing. Precisely timed neural messages connect your brain and extremities. You are a time machine.


Humans are remarkably proficient at internally perceiving and monitoring time to produce precisely timed behaviors and thinking. “We are aware of how long we have been doing a particular thing, how long it has been since we last slept, and how long it will be until lunch or dinner. We are ready, at any moment, to make complex movements requiring muscle coordination with microsecond accuracy, or to decode temporally complex auditory signals in the form of speech or music. Our timing abilities are impressive…” (Lewis & Walsh, 2005, p. 389).

To deal with time, humans have developed multiple timing systems that are active over more than 10 orders of magnitude with various degrees of precision (see figure below from Buhusi & Meck, 2005). These different timing systems can be classified into three general classes (viz., circadian, interval, and millisecond timing), each associated with different behaviors and brain structures and mechanisms. The fastest timing system (millisecond or interval timing) is involved in a numerous human behaviors such as speech and language, music perception and production, coordinated motor behaviors, attention, and thinking. This fast interval timing system is the most important timing system for understanding and diagnosing clinical disorders and for developing and evaluating effective treatment interventions for educational and rehabilitation settings. It is this timing system, and the relevant research, that is relevant to understanding Interactive Metronome. (Note.  See my conflict of interest statement at this blog.  I have an ongoing consulting relationship with IM).



Although there is consensus that the human brain contains some kind of clock, the jury is still out on the exact brain mechanisms and locations. It is also not clear whether there is one functional master clock or a series of clocks deployed in different brain areas. The areas of the brain most consistently associated with milli-second interval mental timing are the cerebellum, anterior cingulate, basal ganglia, the dorsolateral prefrontal cortex, right parietal cortex, motor cortex, and the frontal-striatal loop. That is a mouthful of technical brain terms. But, if you can memorize them and have them roll of your tongue with ease you will “shock and awe” your family and friends. Most of these areas of the brain are illustrated below. Now, if you really want to demonstrate your expertise, get your own illustrated “brain-in-a-pocket”. These images were generated by the free 3D Brain app available for your iPhone or iPad. Even cooler is the fact that you can rotate the images with your finger! You can give neuroanatomy lessons anytime…anywhere!



Research suggests that mental interval timing is controlled by two sub-systems. The automatic timing system processes discrete-event (discontinuous) timing in milliseconds. The cognitively-controlled timing system deals with continuous-event timing (in seconds) that requires controlled attention and working memory. Both systems are likely involved in IM. For example, the synchronized clapping requires motor planning and execution, functions most associated with the automatic timing system. However, the cognitive aspects of IM (focus, controlled attention, executive functions) invoke the cognitively controlled timing system. Aren’t these brain images awesome?



The dominant model in the brain clock research literature is that of a centralized internal clock that functions as per the pacemaker–accumulator model. Briefly, this is a model where an oscillator beating at a fixed frequency generates tics that are detected by a counter. For now I am just going to tease you with an image of this model. You can read more about this model at the Brain Clock blog.


Research suggests that the brain mechanisms underlying mental timing can be fine-tuned (modified) via experience and environmental manipulation. Modifiability of mental interval timing and subsequent transfer suggest a domain-general timing mechanism that, if harnessed via appropriately designed timing-based interventions, may improve human performance in a number of important cognitive and motor domains.